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Paper Citation Record · LEDGER

UAVScenes: A Multi-Modal Dataset for UAVs

As of 19 August 2026, this Paper Citation Record lists 100 of 123 outbound references and 1 inbound Pith citation observation for arXiv:2507.22412.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.22412 v1

Coverage vector

measured 100 of 123 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:47:49.821414Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:31:27.378835Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-16T00:31:27.943165Z

Reference resolution

100 of 123 outbound references displayed

  • verified exact3
  • verified fuzzy40
  • unresolved57
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91cbc31c-ee9b-4876-9cfe-cd1104b7130f · outbound

This paper cites https : / / github.

UAVScenes: A Multi-Modal Dataset for UAVs https : / / github

Reference 1

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source=pdf_text observed=2026-08-06T11:47:46.874461Z digest=sha256:2cbcbac46ab3dcdcb9f8ab2f0b9fe08b9b4db09b7a3ebf7d13710d95d84f8f18

Observation febd932a-b140-4626-a7ca-5f5a51d512eb · outbound

This paper cites 3d map- ping with a drone equipped with a depth camera in indoor environment.

UAVScenes: A Multi-Modal Dataset for UAVs 3d map- ping with a drone equipped with a depth camera in indoor environment

Reference 2

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source=pdf_text observed=2026-08-06T11:47:46.948332Z digest=sha256:b0e377e142ad0de00730f2c7b7a04d2646806010e1ef2b7e26d226fbadedf9b7

Observation 69b1628c-0268-4cda-8d45-b6f27bb3f866 · outbound

This paper cites MixVPR: Feature mixing for visual place recognition.

UAVScenes: A Multi-Modal Dataset for UAVs MixVPR: Feature mixing for visual place recognition

Reference 3

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source=pdf_text observed=2026-08-06T11:47:47.039996Z digest=sha256:3a3b1fb9241bb4d33cb29a12e64c6d4a8ac8c9e713857aa8df34426e476ac043

Observation 4a0ea430-2a35-4c2e-807d-31d72cd64701 · outbound

This paper cites GSV-Cities: Toward appropriate supervised visual place recognition.

UAVScenes: A Multi-Modal Dataset for UAVs GSV-Cities: Toward appropriate supervised visual place recognition

Reference 4

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source=pdf_text observed=2026-08-06T11:47:47.090949Z digest=sha256:31b5d1fe2771ad578071f2be413f1dc8c5001dd244f91ea8ba2f8f37b9a39189

Observation 874d0614-ae4e-4a3b-ba43-81d88bea86e2 · outbound

This paper cites NetVLAD: CNN architecture for weakly supervised place recognition.

UAVScenes: A Multi-Modal Dataset for UAVs NetVLAD: CNN architecture for weakly supervised place recognition

Reference 5

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source=pdf_text observed=2026-08-06T11:47:47.180326Z digest=sha256:1906aefd02c79066d19d3f418bde29c19578955b6a0b7a51d84e40521a656ac2

Observation 19cae48b-08f8-4aa4-a7a9-daceac2e65ef · outbound

This paper cites Joint 2D-3D-Semantic Data for Indoor Scene Understanding.

UAVScenes: A Multi-Modal Dataset for UAVs Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Reference 6

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source=pdf_text observed=2026-08-06T11:47:47.252303Z digest=sha256:693e0764420a2902fe1193a8975d77c160fb94aaacd849b615fc658d62c0e50d

Observation 78350f6b-83e7-42d3-977a-f342e783ea26 · outbound

This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences.

UAVScenes: A Multi-Modal Dataset for UAVs Se- mantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 7

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source=pdf_text observed=2026-08-06T11:47:47.289982Z digest=sha256:93b8ee7cc7cd6030dae675f519e992df1a943b28c14b567b733dfef0fd537642

Observation e9b5a435-4788-480b-b8b5-aba729c0f0a8 · outbound

This paper cites Uav-based delivery systems: a systematic review, current trends, and research challenges.

UAVScenes: A Multi-Modal Dataset for UAVs Uav-based delivery systems: a systematic review, current trends, and research challenges

Reference 8

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source=pdf_text observed=2026-08-06T11:47:47.377120Z digest=sha256:9f556efe6a00ace97dd01b4554d85020727077f2d2e1b38aef0d7986e0c43fff

Observation 1c50da71-80f8-44d4-b186-b3b9d8fe1e6d · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

UAVScenes: A Multi-Modal Dataset for UAVs ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Reference 9

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source=pdf_text observed=2026-08-06T11:47:47.426604Z digest=sha256:502619edb4250c461f449a7b40655b83b74336cb8235499a90cbae98a4f73ac6

Observation 32db3969-1ca3-48b0-b30c-54be88daa513 · outbound

This paper cites Accelerated coordinate encoding: Learning to relocalize in minutes using rgb and poses.

UAVScenes: A Multi-Modal Dataset for UAVs Accelerated coordinate encoding: Learning to relocalize in minutes using rgb and poses

Reference 10

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source=pdf_text observed=2026-08-06T11:47:47.525171Z digest=sha256:a08b498e12452d56715450acf6d98a348c16f797cd51ba624e052be9344b682d

Observation 368814a2-2be5-42ab-851e-e8550437265f · outbound

This paper cites The euroc micro aerial vehicle datasets.

UAVScenes: A Multi-Modal Dataset for UAVs The euroc micro aerial vehicle datasets

Reference 11

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source=pdf_text observed=2026-08-06T11:47:47.583715Z digest=sha256:1d88ecd3c7b5bb9ebd24f621e85d1453fa055f8eee58b5726610c27db8bfe195

Observation 4801bc92-1f9f-4b13-80fa-048266625dc6 · outbound

This paper cites nuScenes: A mul- timodal dataset for autonomous driving.

UAVScenes: A Multi-Modal Dataset for UAVs nuScenes: A mul- timodal dataset for autonomous driving

Reference 12

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source=pdf_text observed=2026-08-06T11:47:47.591742Z digest=sha256:6ea6e9079b66967fac52825a5c368e89d5bf5635c4a4e5077e48a3ad516bd3fb

Observation f5588b3f-3388-45a7-b5f5-8608c2171da8 · outbound

This paper cites BEV-LIO(LC): Bev image assisted lidar- inertial odometry with loop closure.

UAVScenes: A Multi-Modal Dataset for UAVs BEV-LIO(LC): Bev image assisted lidar- inertial odometry with loop closure

Reference 13

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source=pdf_text observed=2026-08-06T11:47:47.716915Z digest=sha256:558c7fa19bc0e8fee9a565842efb89b7cb5d8d69db90c84963b363d3d4150547

Observation 2ecdafab-835d-4ed3-ba00-0e174b6135d1 · outbound

This paper cites VDD: Varied Drone Dataset for Semantic Segmentation.

UAVScenes: A Multi-Modal Dataset for UAVs VDD: Varied Drone Dataset for Semantic Segmentation

Reference 14

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source=pdf_text observed=2026-08-06T11:47:47.790860Z digest=sha256:3079822ad2cf4bd329d824a8fb95ac6f26f14519b16b027857858e52ed593d1b

Observation 60ab0845-c5ba-4064-8150-812916c51294 · outbound

This paper cites Direct: A differential dynamic programming based frame- work for trajectory generation.

UAVScenes: A Multi-Modal Dataset for UAVs Direct: A differential dynamic programming based frame- work for trajectory generation

Reference 15

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source=pdf_text observed=2026-08-06T11:47:47.870909Z digest=sha256:02f86bd063d77af39ad0cb0731550c47d99c06f445667a037c123893a28b990d

Observation 537916b4-2ff2-4877-8d60-73ab11c10a96 · outbound

This paper cites Online trajectory correction and tracking for facade inspec- tion using autonomous uav.

UAVScenes: A Multi-Modal Dataset for UAVs Online trajectory correction and tracking for facade inspec- tion using autonomous uav

Reference 16

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source=pdf_text observed=2026-08-06T11:47:48.012827Z digest=sha256:d2462c4bc3d61b1bce2a2630780911ed993cb123757c2a0146f15de36d2d90ff

Observation 1cbdb207-ea37-44f9-bc34-81f604d3ad2f · outbound

This paper cites Path planning for multiple tethered robots using topological braids.

UAVScenes: A Multi-Modal Dataset for UAVs Path planning for multiple tethered robots using topological braids

Reference 17

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source=pdf_text observed=2026-08-06T11:47:48.092439Z digest=sha256:66da8b420db5422b1b9bd37f51a89d7e4c0e196cab23725604cf826d865eeecb

Observation a82b2478-d837-4996-bb5b-e1796b78e0da · outbound

This paper cites Neptune: nonentangling trajectory planning for multiple tethered unmanned vehicles.

UAVScenes: A Multi-Modal Dataset for UAVs Neptune: nonentangling trajectory planning for multiple tethered unmanned vehicles

Reference 18

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source=pdf_text observed=2026-08-06T11:47:48.225254Z digest=sha256:2f355f2489f80fa8515f32fd302410956533244bc4ee0f792bc14525c4efda86

Observation 6fcddfa4-37a4-492b-a76c-77c4e46a8888 · outbound

This paper cites Stpls3d: A large-scale synthetic and real aerial photogrammetry 3d point cloud dataset.

UAVScenes: A Multi-Modal Dataset for UAVs Stpls3d: A large-scale synthetic and real aerial photogrammetry 3d point cloud dataset

Reference 19

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source=pdf_text observed=2026-08-06T11:47:48.282705Z digest=sha256:40b81fc65f245d3112200bcdb5a7b1858fad74a1c3d4d60ef2fba0d586b68093

Observation 6f923af7-32d7-4e1e-8684-0455a7931fda · outbound

This paper cites Gaus- sianpro: 3d gaussian splatting with progressive propaga- tion.

UAVScenes: A Multi-Modal Dataset for UAVs Gaus- sianpro: 3d gaussian splatting with progressive propaga- tion

Reference 20

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source=pdf_text observed=2026-08-06T11:47:48.389998Z digest=sha256:e890fdf40c7657a369e5ef8073c2a3b4fd8f6007c6fac6552b3eeef3746ea57d

Observation eb0daa68-4838-4b84-b205-f19b2e9dd157 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

UAVScenes: A Multi-Modal Dataset for UAVs 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 21

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source=pdf_text observed=2026-08-06T11:47:48.496207Z digest=sha256:505380f9f3d919fa92c955dd77069c96f3ace5682eb9aab8aea38e15d4c123bf

Observation 1c8c4f53-d909-485e-8961-f7f8c1d738c0 · outbound

This paper cites ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization.

UAVScenes: A Multi-Modal Dataset for UAVs ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization

Reference 22

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source=pdf_text observed=2026-08-06T11:47:48.572786Z digest=sha256:66adbe5103edae25a99375e9542c668e19aece080a896100d93e4747f16e5391

Observation 26196af5-fef1-4a07-b2bf-4039f3b749d4 · outbound

This paper cites SpConv: Spatially sparse convolu- tion library.

UAVScenes: A Multi-Modal Dataset for UAVs SpConv: Spatially sparse convolu- tion library

Reference 23

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source=pdf_text observed=2026-08-06T11:47:48.679602Z digest=sha256:1a7906ae71f9bb17df7a2789f1b02d8afc36683d939339a18af5656f3c24dcaf

Observation 6f3e81c3-a656-4be4-9227-179cdfa9f669 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

UAVScenes: A Multi-Modal Dataset for UAVs Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 24

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source=pdf_text observed=2026-08-06T11:47:48.726765Z digest=sha256:3786720bf822e2a319cc261a74e6d1752d87ef2758d628e084a0bcf19bf0b982

Observation 29e25629-d60e-4641-a1eb-1084127617b1 · outbound

This paper cites Compact 3D Gaussian Splatting For Dense Visual SLAM.

UAVScenes: A Multi-Modal Dataset for UAVs Compact 3D Gaussian Splatting For Dense Visual SLAM

Reference 25

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source=pdf_text observed=2026-08-06T11:47:48.886165Z digest=sha256:93cb584243b82fb9212df369ff4de153178c020b17b14368ede3d5011eeae92a

Observation 5781ba14-2bbf-4617-b111-0efb7c126bf0 · outbound

This paper cites Incremental joint learning of depth, pose and implicit scene representation on monocular camera in large-scale scenes.

UAVScenes: A Multi-Modal Dataset for UAVs Incremental joint learning of depth, pose and implicit scene representation on monocular camera in large-scale scenes

Reference 26

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source=pdf_text observed=2026-08-06T11:47:48.952554Z digest=sha256:a5d38f4d2574441d44cc274342746ea9f1b2785c42f269d8d672f643746ce509

Observation 35627453-d1a5-4021-aace-af1f06ed6615 · outbound

This paper cites FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments.

UAVScenes: A Multi-Modal Dataset for UAVs FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments

Reference 27

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source=pdf_text observed=2026-08-06T11:47:49.045163Z digest=sha256:af56076de985369a8b223779b066b048967a27e317c65f5aa2473c2eb4b43505

Observation e1bf0c7a-f4d4-41b8-ad9e-8f6a642f48f3 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

UAVScenes: A Multi-Modal Dataset for UAVs An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 28

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source=pdf_text observed=2026-08-06T11:47:49.118359Z digest=sha256:e74ad6f3b209eee75ea64fe0e6d001cdc75abfea491a049335ab315f793bcc92

Observation 3ff2cdae-af15-4ce7-93de-1bf1ddae15aa · outbound

This paper cites CARLA: An open urban driving simulator.

UAVScenes: A Multi-Modal Dataset for UAVs CARLA: An open urban driving simulator

Reference 29

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source=pdf_text observed=2026-08-06T11:47:49.238405Z digest=sha256:130946b39ec0b4407348d53004d6186af91a708af5b6a3faabc00510dbd30235

Observation e8bbdbbc-ce85-491e-992d-bd64be9e650f · outbound

This paper cites The unmanned aerial vehicle benchmark: Ob- ject detection and tracking.

UAVScenes: A Multi-Modal Dataset for UAVs The unmanned aerial vehicle benchmark: Ob- ject detection and tracking

Reference 30

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source=pdf_text observed=2026-08-06T11:47:49.323123Z digest=sha256:2c1d18123ba2e273f761cbefc37d135bbf88bb2140e356a5f2c53cd67d1420f5

Observation 946dbea2-9bc5-4161-abee-babaee1ddcd1 · outbound

This paper cites Develop- ment control and navigation of octocopter.

UAVScenes: A Multi-Modal Dataset for UAVs Develop- ment control and navigation of octocopter

Reference 31

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source=pdf_text observed=2026-08-06T11:47:49.453841Z digest=sha256:6727741691cef7f09665233133e09e1f35a008011da5a84bc5d9b844397a9964

Observation 57990a8f-226f-4e1d-b044-f9fd6c8401b2 · outbound

This paper cites HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenes.

UAVScenes: A Multi-Modal Dataset for UAVs HazyDet: Open-Source Benchmark for Drone-View Object Detection with Depth-Cues in Hazy Scenes

Reference 32

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source=pdf_text observed=2026-08-06T11:47:49.458929Z digest=sha256:84203a14a809b914e0210481859748fc4abff804a8f735516bedfa43d867f565

Observation d82bde7f-d248-462b-96dd-55c664d7d96a · outbound

This paper cites Mid-air: A multi-modal dataset for extremely low altitude drone flights.

UAVScenes: A Multi-Modal Dataset for UAVs Mid-air: A multi-modal dataset for extremely low altitude drone flights

Reference 33

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source=pdf_text observed=2026-08-06T11:47:49.594883Z digest=sha256:e2bd6d2ba1e26bb04d13502b8d71b7fdfb63f73e6894a1ad53215a30fc322a92

Observation db0391a9-47fe-458f-b4c4-7a59eb6b7a13 · outbound

This paper cites Ge- owizard: Unleashing the diffusion priors for 3d geometry estimation from a single image.

UAVScenes: A Multi-Modal Dataset for UAVs Ge- owizard: Unleashing the diffusion priors for 3d geometry estimation from a single image

Reference 34

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source=pdf_text observed=2026-08-06T11:47:49.606483Z digest=sha256:8c04437255f69edd58fe7276bdaa6b1be31ab8b17516c91749518e129e771b87

Observation c0570158-2b63-4157-bd19-a6ba3f8b21e9 · outbound

This paper cites Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments.

UAVScenes: A Multi-Modal Dataset for UAVs Unifying Local and Global Multimodal Features for Place Recognition in Aliased and Low-Texture Environments

Reference 35

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source=pdf_text observed=2026-08-06T11:47:49.640354Z digest=sha256:d5926b383d5f6aeb9eca346d55bbda23de4c0723c7192f15296eb8153afa678d

Observation 762a0b7e-13b2-4b62-a45c-9cf5c48f42dd · outbound

This paper cites Vision meets robotics: The KITTI dataset.

UAVScenes: A Multi-Modal Dataset for UAVs Vision meets robotics: The KITTI dataset

Reference 36

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source=pdf_text observed=2026-08-06T11:47:49.643598Z digest=sha256:a2e639cc642fd5e506070433499b737226b81bd4e60d8a3b66632c57a5a9889d

Observation b43a8343-437a-4fb6-b656-282fb30a64d1 · outbound

This paper cites an unresolved cited work.

UAVScenes: A Multi-Modal Dataset for UAVs Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-06T11:47:49.646317Z digest=sha256:df9dcc9b008a313eff2637aa0a0eab450c58b4fc1aae7e0507100f4dedb01046

Observation 87805b5f-0db2-4dd6-8e18-ab764b37f049 · outbound

This paper cites Deep residual learning for image recognition.

UAVScenes: A Multi-Modal Dataset for UAVs Deep residual learning for image recognition

Reference 38

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source=pdf_text observed=2026-08-06T11:47:49.648887Z digest=sha256:edabc0f4c713f28b2630999511f968511a8755950a7cf0faf062d777b5471e76

Observation fbb43ed7-b532-4d6e-9759-9b5ee95265fe · outbound

This paper cites Drone-based object counting by spatially regularized re- gional proposal network.

UAVScenes: A Multi-Modal Dataset for UAVs Drone-based object counting by spatially regularized re- gional proposal network

Reference 39

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source=pdf_text observed=2026-08-06T11:47:49.651555Z digest=sha256:19bc5d89fc8a60b871262c80cee0c07db7972ab8f9efa693679810a1c3fd10ef

Observation 6f56ed79-7f5d-4f0a-ad05-1f587a12205e · outbound

This paper cites Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation.

UAVScenes: A Multi-Modal Dataset for UAVs Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation

Reference 40

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source=pdf_text observed=2026-08-06T11:47:49.654447Z digest=sha256:481aa23f22049dea2e7ef3b1d6aa77777b470d8d143299e930f7ee05b00fcc46

Observation 6f19d5b8-75c0-49d3-8a82-52d1c0a4c62d · outbound

This paper cites Optimal transport ag- gregation for visual place recognition.

UAVScenes: A Multi-Modal Dataset for UAVs Optimal transport ag- gregation for visual place recognition

Reference 41

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source=pdf_text observed=2026-08-06T11:47:49.657655Z digest=sha256:ba18910418a2c8590261e26144beb6146f17776e7abeaba190c6ff606372120d

Observation 415faf4d-0fbb-4155-bc8c-2bf9db0864f7 · outbound

This paper cites Rellis-3d dataset: Data, benchmarks and analy- sis.

UAVScenes: A Multi-Modal Dataset for UAVs Rellis-3d dataset: Data, benchmarks and analy- sis

Reference 42

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source=pdf_text observed=2026-08-06T11:47:49.660339Z digest=sha256:f9242ac4b4445575608016a5ee2479a077e400cf35dca17b6bbb6620778f007c

Observation 9422eb80-a3f7-466c-8151-29c2ce788f6e · outbound

This paper cites GO: The Great Outdoors Multimodal Dataset.

UAVScenes: A Multi-Modal Dataset for UAVs GO: The Great Outdoors Multimodal Dataset

Reference 43

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source=pdf_text observed=2026-08-06T11:47:49.663038Z digest=sha256:2fa345ad426c693bfd4b768cdb10d5388beac630080a2336d2e42942acb48b7b

Observation c42bab77-f4b8-43bf-82f3-339002a13153 · outbound

This paper cites 6G Non-Terrestrial Networks Enabled Low-Altitude Economy: Opportunities and Challenges.

UAVScenes: A Multi-Modal Dataset for UAVs 6G Non-Terrestrial Networks Enabled Low-Altitude Economy: Opportunities and Challenges

Reference 44

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source=pdf_text observed=2026-08-06T11:47:49.665721Z digest=sha256:73aca6ff89f2f113191b255c45bd5b714b974d27e4d92119f5685687569ca08a

Observation 2b31d7f1-8ca6-42df-8c6d-c453b17c31a0 · outbound

This paper cites Re- purposing diffusion-based image generators for monocular depth estimation.

UAVScenes: A Multi-Modal Dataset for UAVs Re- purposing diffusion-based image generators for monocular depth estimation

Reference 45

Resolution
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source=pdf_text observed=2026-08-06T11:47:49.669120Z digest=sha256:eac2a9d15608bb19d37f0a289153658e181f4d5e4061da18943e7ab3ba0ca767

Observation 6b0adcd2-e3d5-443f-98b0-1bf3a121b283 · outbound

This paper cites Anyloc: Towards universal vi- sual place recognition.

UAVScenes: A Multi-Modal Dataset for UAVs Anyloc: Towards universal vi- sual place recognition

Reference 46

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source=pdf_text observed=2026-08-06T11:47:49.672074Z digest=sha256:e508b523d0f0901e6895927c18ac9c5319415e59783efef2dbf5811028cea2ed

Observation cdd29bf1-6fd1-423c-aa5b-1d3d4d520123 · outbound

This paper cites PoseNet: A convolutional network for real-time 6-DoF camera relocalization.

UAVScenes: A Multi-Modal Dataset for UAVs PoseNet: A convolutional network for real-time 6-DoF camera relocalization

Reference 47

Resolution
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source=pdf_text observed=2026-08-06T11:47:49.674979Z digest=sha256:6087a50de3d147178982b182370b8c5ca3cfb52be0b2d716c1916cccf3637629

Observation a470bc57-f528-4cca-b8fc-053944f81fdb · outbound

This paper cites 3D Gaussian Splatting for Real-Time Radiance Field Rendering.

UAVScenes: A Multi-Modal Dataset for UAVs 3D Gaussian Splatting for Real-Time Radiance Field Rendering

Reference 48

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no resolver link, observed 2026-08-06T11:47:49.677940Z

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source=pdf_text observed=2026-08-06T11:47:49.677940Z digest=sha256:b3e24553f8482ff48311cae6ce336754c58cb6a719fba257a0cf98d8ca484c44

Observation f6f69cf1-7e97-479e-bfdb-79296f45e49b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

UAVScenes: A Multi-Modal Dataset for UAVs Adam: A Method for Stochastic Optimization

Reference 49

Resolution
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source=pdf_text observed=2026-08-06T11:47:49.680507Z digest=sha256:95de47704bb6e2b2419636569258a3255eff0c3accbd9b264a5cf1df16df3678

Observation aa803ed8-6cf2-461f-aa86-a3ba3f9513c3 · outbound

This paper cites The hessigheim 3d (h3d) benchmark on se- mantic segmentation of high-resolution 3d point clouds and textured meshes from uav lidar and multi-view-stereo.

UAVScenes: A Multi-Modal Dataset for UAVs The hessigheim 3d (h3d) benchmark on se- mantic segmentation of high-resolution 3d point clouds and textured meshes from uav lidar and multi-view-stereo

Reference 50

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source=pdf_text observed=2026-08-06T11:47:49.683825Z digest=sha256:da469517f8ef1f5f69a7ec568ac474810214b8f19e2c6b4d150b86c22b246dd8

Observation f962042d-ce36-4bbf-8cd2-f1e2e32cc618 · outbound

This paper cites Minkloc3D: Point cloud based large- scale place recognition.

UAVScenes: A Multi-Modal Dataset for UAVs Minkloc3D: Point cloud based large- scale place recognition

Reference 51

Resolution
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source=pdf_text observed=2026-08-06T11:47:49.686607Z digest=sha256:e37f4ef5eec5ad9f20826ce23cb1b8b3619a249d8ef9172dcca6727afc75faa8

Observation 17893ad4-08d5-4f76-8eb0-803a47859ec8 · outbound

This paper cites Improving point cloud based place recognition with ranking-based loss and large batch train- ing.

UAVScenes: A Multi-Modal Dataset for UAVs Improving point cloud based place recognition with ranking-based loss and large batch train- ing

Reference 52

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source=pdf_text observed=2026-08-06T11:47:49.689553Z digest=sha256:495234e7648fd42c7624162857bc4383e721abb13af3943fba19c4fbd257e72b

Observation d1e27c00-ea53-4bdd-afdd-caaf2a0a9ed4 · outbound

This paper cites MinkLoc++: LiDAR and monocular image fu- sion for place recognition.

UAVScenes: A Multi-Modal Dataset for UAVs MinkLoc++: LiDAR and monocular image fu- sion for place recognition

Reference 53

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unresolved
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source=pdf_text observed=2026-08-06T11:47:49.692276Z digest=sha256:e6bcafe5e10d762709d944ed88ab34e0907d66688b80fee0339bf24ce8e59339

Observation ff6dbafc-9f30-4719-945e-b69c740479a9 · outbound

This paper cites Leveraging effi- cientnet and contrastive learning for accurate global-scale location estimation.

UAVScenes: A Multi-Modal Dataset for UAVs Leveraging effi- cientnet and contrastive learning for accurate global-scale location estimation

Reference 54

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no resolver link, observed 2026-08-06T11:47:49.695933Z

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source=pdf_text observed=2026-08-06T11:47:49.695933Z digest=sha256:a7c5400c38935166ccbf180ccaa0554d85deab99be4fdac6fe28780f7b8c32b6

Observation 86559a91-9515-472a-97de-48c7eb68fa53 · outbound

This paper cites Deep- learning-based aerial image classification for emergency re- sponse applications using unmanned aerial vehicles.

UAVScenes: A Multi-Modal Dataset for UAVs Deep- learning-based aerial image classification for emergency re- sponse applications using unmanned aerial vehicles

Reference 55

Resolution
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no resolver link, observed 2026-08-06T11:47:49.698381Z

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source=pdf_text observed=2026-08-06T11:47:49.698381Z digest=sha256:aec8082508b7890d3b5074fab224f85551975843655ccb0df2439299cf262372

Observation 6b5546f4-a211-49e2-ba01-2f65a364599b · outbound

This paper cites AdaFu- sion: Visual-LiDAR fusion with adaptive weights for place recognition.

UAVScenes: A Multi-Modal Dataset for UAVs AdaFu- sion: Visual-LiDAR fusion with adaptive weights for place recognition

Reference 56

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source=pdf_text observed=2026-08-06T11:47:49.700828Z digest=sha256:f94483b0d0fcf48aeddf3c7505f2aa877ea738e596a477abc5716a2743cc690d

Observation 88f8c1c5-036f-487d-940b-6fafa59240e4 · outbound

This paper cites Mars-lvig dataset: A multi-sensor aerial robots slam dataset for lidar-visual-inertial-gnss fu- sion.

UAVScenes: A Multi-Modal Dataset for UAVs Mars-lvig dataset: A multi-sensor aerial robots slam dataset for lidar-visual-inertial-gnss fu- sion

Reference 57

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source=pdf_text observed=2026-08-06T11:47:49.703491Z digest=sha256:0443e64958cf2fb436a85ce81c810d94c784824d320b2887ac588ed423463a1a

Observation 25795af4-e332-4ac7-ba5e-436358c2c00f · outbound

This paper cites Drone-aided delivery methods, chal- lenge, and the future: A methodological review.

UAVScenes: A Multi-Modal Dataset for UAVs Drone-aided delivery methods, chal- lenge, and the future: A methodological review

Reference 58

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source=pdf_text observed=2026-08-06T11:47:49.706207Z digest=sha256:e4a564f183bbede0ebc5c4c95dbb7fe517d3dbf54da843c43efe527307431a6c

Observation 85ab1512-92a3-4499-8cf8-7cd1f3230c3e · outbound

This paper cites Airswarm: Enabling cost-effective multi-uav research with cots drones.

UAVScenes: A Multi-Modal Dataset for UAVs Airswarm: Enabling cost-effective multi-uav research with cots drones

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.724541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.708817Z digest=sha256:7bab96870c08602a07b32e783f9b2d9543d9c94ec0e37d336c30093e09fba985

Observation 112e489a-68cb-40c0-8ec1-1968853c4d3a · outbound

This paper cites KITTI-360: A novel dataset and benchmarks for urban scene understand- ing in 2D and 3D.

UAVScenes: A Multi-Modal Dataset for UAVs KITTI-360: A novel dataset and benchmarks for urban scene understand- ing in 2D and 3D

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.716879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.711262Z digest=sha256:d5da8a69b69aea75ab351443daee56d6f7b639016c758eef8966655897b8b323

Observation f92132e4-ec90-4647-9e4d-1ba6d7841dce · outbound

This paper cites R 3 live: A robust, real-time, rgb-colored, lidar-inertial-visual tightly-coupled state esti- mation and mapping package.

UAVScenes: A Multi-Modal Dataset for UAVs R 3 live: A robust, real-time, rgb-colored, lidar-inertial-visual tightly-coupled state esti- mation and mapping package

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.708930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.713938Z digest=sha256:37da22fca9750e6293ca5e85a6f38fbc701f3bb56a1d4ca6bd7c45ee0913c7e5

Observation 2cd8f444-404b-4907-929e-96b9568b55fe · outbound

This paper cites Capturing, reconstructing, and simulat- ing: the urbanscene3d dataset.

UAVScenes: A Multi-Modal Dataset for UAVs Capturing, reconstructing, and simulat- ing: the urbanscene3d dataset

Reference 62

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verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.701467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.716301Z digest=sha256:21374ddb2594b8466a949fce8d1f3e8f976186c2781429ef8f16009cfb3b7748

Observation fb3b6fcf-f482-44a8-be64-61debbd62235 · outbound

This paper cites A ConvNet for the 2020s.

UAVScenes: A Multi-Modal Dataset for UAVs A ConvNet for the 2020s

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.694177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.719121Z digest=sha256:334266f875a240306fa90e1314e78e8f39b0984342ed568b0f63ee1b5e1b135e

Observation a6523e97-a54c-42d8-a750-f94468f3faf3 · outbound

This paper cites Qlio: Quantized lidar- inertial odometry.

UAVScenes: A Multi-Modal Dataset for UAVs Qlio: Quantized lidar- inertial odometry

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.686325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.721551Z digest=sha256:5a3163713dd1d361ed76f83e22971507dc1961365f1c59fab4cab856f8d1473c

Observation 12c30717-ef3d-45aa-a8aa-feaf2c076b94 · outbound

This paper cites BEV- Place: Learning LiDAR-based place recognition using bird’s eye view images.

UAVScenes: A Multi-Modal Dataset for UAVs BEV- Place: Learning LiDAR-based place recognition using bird’s eye view images

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.679328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.724176Z digest=sha256:a707c97da0e6773ae2208a0152c7471d5df4d0fa244975b49a23dd0d018a7f97

Observation 7010d7e9-1923-4e3e-b2c4-805399260ec1 · outbound

This paper cites Uavid: A semantic segmentation dataset for uav imagery.

UAVScenes: A Multi-Modal Dataset for UAVs Uavid: A semantic segmentation dataset for uav imagery

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.671730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.726827Z digest=sha256:7e1a4bf2a0426dc95b8ca078eff4449a9fd2f116ae849009537da3aa2eb82214

Observation 72052f0c-5acb-4090-90cb-d673356019c0 · outbound

This paper cites Structure priors aided visual-inertial navigation in building inspec- tion tasks with auxiliary line features.

UAVScenes: A Multi-Modal Dataset for UAVs Structure priors aided visual-inertial navigation in building inspec- tion tasks with auxiliary line features

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.664579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.729254Z digest=sha256:32b3ec5498a5876b665558e839ad8bbbb1a2245473e499f467c76f8d973df83e

Observation ed673fcb-5a1c-45a8-8c3a-b6fd48023b36 · outbound

This paper cites Vision-based plane estimation and following for building inspection with autonomous uav.

UAVScenes: A Multi-Modal Dataset for UAVs Vision-based plane estimation and following for building inspection with autonomous uav

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.656733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.731813Z digest=sha256:f9956765d47a113eb5a149943d0d081a97f5766ee1359cc7e9588c1ef252094c

Observation 459b6a6f-c086-48b0-a222-c8db2a161b4c · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

UAVScenes: A Multi-Modal Dataset for UAVs Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.648595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.734643Z digest=sha256:acce55faa835974b406988f74aa55d645f14081694507dcfa2868799fdc43bc8

Observation f2743e5a-5729-4e68-bdcd-4deefed1506c · outbound

This paper cites Review on applica- tion of drone systems in precision agriculture.

UAVScenes: A Multi-Modal Dataset for UAVs Review on applica- tion of drone systems in precision agriculture

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.640172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.738145Z digest=sha256:3929565245a23c0ff84e47c45a2d1ea0566b9307f1ab62ab0ba0649de2fe035a

Observation 2747995f-c8d8-474e-8ed2-2785ce8dc5e3 · outbound

This paper cites To- wards the unmanned aerial vehicles (uavs): A comprehen- sive review.

UAVScenes: A Multi-Modal Dataset for UAVs To- wards the unmanned aerial vehicles (uavs): A comprehen- sive review

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.631548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.741465Z digest=sha256:46c619b1fe0f6e9e23320f9b8478b7e429945118e3dffe4728ddc85db6a825eb

Observation ebc5406d-5e06-4310-919a-baaaaeb109c4 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding.

UAVScenes: A Multi-Modal Dataset for UAVs Instant neural graphics primitives with a multiresolution hash encoding

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.624015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.744255Z digest=sha256:e853255aefe7a3dd03bfef55e9d053c572ed74dee19e61e3f660c2540e751a9a

Observation a45a9678-3bcb-48b0-b66e-64b7d4f20fa8 · outbound

This paper cites Focustune: Tuning visual localization through focus-guided sampling.

UAVScenes: A Multi-Modal Dataset for UAVs Focustune: Tuning visual localization through focus-guided sampling

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.616575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.747126Z digest=sha256:f57e621974f0f86ce4851b6316872a37f8234b0f00c04f43a36c61e25a97baf5

Observation a3fa62b7-67e4-4598-b6ce-a513e161aa5d · outbound

This paper cites Viral-fusion: A visual-inertial-ranging-lidar sensor fusion approach.

UAVScenes: A Multi-Modal Dataset for UAVs Viral-fusion: A visual-inertial-ranging-lidar sensor fusion approach

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.608880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.750176Z digest=sha256:b49ed6dd3ad3b5ec005005f4a12a81c3c8ee9f467f6c161a2565bfb6f5b1d595

Observation 86f0403c-cce8-4b3f-87e0-c3088d7f7c9f · outbound

This paper cites Ntu viral: A visual- inertial-ranging-lidar dataset, from an aerial vehicle view- point.

UAVScenes: A Multi-Modal Dataset for UAVs Ntu viral: A visual- inertial-ranging-lidar dataset, from an aerial vehicle view- point

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.600800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.753108Z digest=sha256:734e6f42059edb8eec95f51880f7808d84a2501b8b6fea196c6864b5283ccd51

Observation d063d0eb-3b3b-4151-a021-0c710b30320a · outbound

This paper cites Ensem- ble knowledge transfer for semantic segmentation.

UAVScenes: A Multi-Modal Dataset for UAVs Ensem- ble knowledge transfer for semantic segmentation

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.592793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.756284Z digest=sha256:e2565c9f3c0e2a3ee493148d04b42c7c9d29f46969c1c9a8abdcd1f73fa562e5

Observation 619ce393-7072-4e7a-8369-1fe6c820fa0e · outbound

This paper cites Envodat: A large-scale multisen- sory dataset for robotic spatial awareness and semantic reasoning in heterogeneous environments.

UAVScenes: A Multi-Modal Dataset for UAVs Envodat: A large-scale multisen- sory dataset for robotic spatial awareness and semantic reasoning in heterogeneous environments

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T11:47:49.758881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:47:49.758881Z digest=sha256:0e9879e6f89307040041c2ea4665b7fe86c9a58b93291d863892213163bcdd4e

Observation 9363528e-4672-422e-932b-bc4c045166eb · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

UAVScenes: A Multi-Modal Dataset for UAVs DINOv2: Learning Robust Visual Features without Supervision

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T11:47:49.761644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:47:49.761644Z digest=sha256:09a8e1a45e13be13901f07c831f458cf337c65bf3f1757924f2158343c92c279

Observation ce152678-1386-4297-945a-e8ef2c89a0eb · outbound

This paper cites K-radar: 4d radar object detection for autonomous driving in various weather conditions.

UAVScenes: A Multi-Modal Dataset for UAVs K-radar: 4d radar object detection for autonomous driving in various weather conditions

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.584602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.764459Z digest=sha256:ef766a9059043ef48a30198d8d64d254cba4871d9ea1de4fa557b44ffd0f016d

Observation 0df0926f-73ef-4ff9-b158-2c84be665128 · outbound

This paper cites Fine- tuning CNN image retrieval with no human annotation.

UAVScenes: A Multi-Modal Dataset for UAVs Fine- tuning CNN image retrieval with no human annotation

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.576400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.766974Z digest=sha256:31b38c7013580c24a3412f0f6e014ce2db8f5f524bdab3462172717f1ce22a88

Observation 5aa67d24-2503-4602-9633-65a713fb0b2f · outbound

This paper cites Floodnet: A high resolution aerial imagery dataset for post flood scene understanding.

UAVScenes: A Multi-Modal Dataset for UAVs Floodnet: A high resolution aerial imagery dataset for post flood scene understanding

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.567678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.770947Z digest=sha256:389f2f310d16cf049d07d38294212dc6544df87d510b0409f723c4189f9132d1

Observation 2b77d852-514e-4d68-ac87-170883cb2db2 · outbound

This paper cites Syndrone-multi-modal uav dataset for ur- ban scenarios.

UAVScenes: A Multi-Modal Dataset for UAVs Syndrone-multi-modal uav dataset for ur- ban scenarios

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.557811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.773647Z digest=sha256:2c3481ba95c6f61a1f20e13506be53f8a00243c02ca74833dcc094bcb876b3b5

Observation 1b43073d-3e32-442f-bbf9-f0b2018d7a65 · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo.

UAVScenes: A Multi-Modal Dataset for UAVs Pixelwise view selection for unstructured multi-view stereo

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.549828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.776543Z digest=sha256:31c89ade1ed6ec6e10c2ac421cdd7d9c6bc621fc5ccaf60a9552f2ae3f9b9945

Observation 294c654e-38ab-482a-8566-a989337c7ee2 · outbound

This paper cites Un- manned aerial vehicles (uavs): A survey on civil applica- tions and key research challenges.

UAVScenes: A Multi-Modal Dataset for UAVs Un- manned aerial vehicles (uavs): A survey on civil applica- tions and key research challenges

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.542015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.780247Z digest=sha256:7a63f79dfb204da3d1a8edea71e26d7fa1bad7ca8a12909e72d22832f27c1dd3

Observation c6deb0a7-5f9a-4776-83f1-6c716fc3f211 · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

UAVScenes: A Multi-Modal Dataset for UAVs Indoor segmentation and support inference from rgbd images

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.534410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.782669Z digest=sha256:e9d57e3b249782152c1bd9b0388e3f25c8b07d1de94beebc2d0396a337189e81

Observation 6ff6adf4-15f8-4b5e-b104-189b87eb7d5a · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

UAVScenes: A Multi-Modal Dataset for UAVs Scalability in perception for autonomous driving: Waymo open dataset

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.527425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.785361Z digest=sha256:85e90f944d4e7a7851a8f1449dffe36bea7375ea6270cdd41e63b47769709347

Observation 51960f3f-5926-44b6-826f-bbea6a613c34 · outbound

This paper cites Drone-based rgb-infrared cross-modality vehicle detection via uncertainty-aware learning.

UAVScenes: A Multi-Modal Dataset for UAVs Drone-based rgb-infrared cross-modality vehicle detection via uncertainty-aware learning

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.519157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.788061Z digest=sha256:eb5a5f821af0760e72a876672ee7d1186050039c47a4c1ca96f68c208340253e

Observation 17a688d1-3fc8-4f00-8cbf-b54472628b44 · outbound

This paper cites Mun-frl: A visual-inertial-lidar dataset for aerial au- tonomous navigation and mapping.

UAVScenes: A Multi-Modal Dataset for UAVs Mun-frl: A visual-inertial-lidar dataset for aerial au- tonomous navigation and mapping

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.511632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.790734Z digest=sha256:a08f968ba028150d6626e0f0c454fb7342240ff7af2052ef4d0c3dec1ffed442

Observation 2d4d596e-b06d-4454-8771-7f8ba471b037 · outbound

This paper cites Deit iii: Revenge of the vit.

UAVScenes: A Multi-Modal Dataset for UAVs Deit iii: Revenge of the vit

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.504123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.793532Z digest=sha256:2e1fd588eb9941b2baa2e1f1b8bb438aa8aab78be59b6830b2e323e9308041a3

Observation 7a7ce790-ee26-4b00-95a4-19d4aaf6db0d · outbound

This paper cites Wildscenes: A benchmark for 2d and 3d semantic segmentation in large-scale natural environments.

UAVScenes: A Multi-Modal Dataset for UAVs Wildscenes: A benchmark for 2d and 3d semantic segmentation in large-scale natural environments

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.496177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.796163Z digest=sha256:2143c4f0135e48ea60ccd9c3e2a87eeb8a9dae98b3a1022f4a87dfa8bfe86ef8

Observation e8c68081-d172-4eb9-a143-003d6cf89939 · outbound

This paper cites AtLoc: Atten- tion guided camera localization.

UAVScenes: A Multi-Modal Dataset for UAVs AtLoc: Atten- tion guided camera localization

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.488609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.798626Z digest=sha256:df2df3beaa90b1422bed9cf913bf6f13b1990bc307febcc7ea0206fd7a3c7553

Observation ff26e27e-c171-4eb1-b344-9f5da32d0159 · outbound

This paper cites Uav environmental perception and au- tonomous obstacle avoidance: A deep learning and depth camera combined solution.

UAVScenes: A Multi-Modal Dataset for UAVs Uav environmental perception and au- tonomous obstacle avoidance: A deep learning and depth camera combined solution

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.480567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.801118Z digest=sha256:e237f6aa5ed156a3b6de6f4a36ca8ebaf3b63e255ced6a78158bed7a1c71edd7

Observation 7092b3d9-d1ff-4655-b824-66b085929043 · outbound

This paper cites Glace: Global lo- cal accelerated coordinate encoding.

UAVScenes: A Multi-Modal Dataset for UAVs Glace: Global lo- cal accelerated coordinate encoding

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.472645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.803556Z digest=sha256:4ca73e7f8ca61f40218cc06c6f258ce4e83822be4ff6d241a7fb9befd609967f

Observation 241952a1-60c1-4535-9e21-d8662ebcabeb · outbound

This paper cites Heteroge- neous stereo: A human vision inspired method for general robotics sensing.

UAVScenes: A Multi-Modal Dataset for UAVs Heteroge- neous stereo: A human vision inspired method for general robotics sensing

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.465476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.806260Z digest=sha256:4f7a069af47ad6dec22e1fc71413c3127be6b3d65a028246a973e8e2957ae7ec

Observation aa1a3cc6-e3e8-42d1-ac33-ce724f94029b · outbound

This paper cites Dc-gaussian: Improving 3d gaussian splatting for reflective dash cam videos.

UAVScenes: A Multi-Modal Dataset for UAVs Dc-gaussian: Improving 3d gaussian splatting for reflective dash cam videos

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.457352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.808708Z digest=sha256:4afa132e8a13e3371104a16d29cb9df65c14a928c74d026e34b262d73d3012c0

Observation 710a3bbc-fe46-4079-815f-cb6efaa0ada7 · outbound

This paper cites RobustLoc: Robust camera pose regression in challenging driving envi- ronments.

UAVScenes: A Multi-Modal Dataset for UAVs RobustLoc: Robust camera pose regression in challenging driving envi- ronments

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.449680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.811008Z digest=sha256:8ba60468887cee83256cda9c4263f44760d8a77bfa1ae984d928bcc2b22ce550

Observation 6f5bd396-b10c-4031-94e5-4705b936e916 · outbound

This paper cites Embodiedscan: A holistic multi- modal 3d perception suite towards embodied ai.

UAVScenes: A Multi-Modal Dataset for UAVs Embodiedscan: A holistic multi- modal 3d perception suite towards embodied ai

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.441628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.813249Z digest=sha256:9fdddbdb1bcce850b62a49c33bed1aab123300e50241871b463c2452d277cb43

Observation eb081ad1-d6c7-4b7d-990e-9a4d0a376912 · outbound

This paper cites Tartanair: A dataset to push the limits of visual slam.

UAVScenes: A Multi-Modal Dataset for UAVs Tartanair: A dataset to push the limits of visual slam

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.433913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.816055Z digest=sha256:6fc2cd145ef5b293873f474377d4f40085b8ede4a7c05f9dca6a813a77c81420

Observation 26652f99-9efd-4344-8f24-7cbc7ab3ba37 · outbound

This paper cites Con- vnext v2: Co-designing and scaling convnets with masked autoencoders.

UAVScenes: A Multi-Modal Dataset for UAVs Con- vnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.426589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.818683Z digest=sha256:46b242d96cd2edd1461c379b9e00b4e645b1f48202fba8f9140ad54aebdc9639

Observation 905bbb43-570c-47c7-b576-08eeec9fb18f · outbound

This paper cites Uavd4l: A large-scale dataset for uav 6-dof localization.

UAVScenes: A Multi-Modal Dataset for UAVs Uavd4l: A large-scale dataset for uav 6-dof localization

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:47:50.419259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T11:47:49.821414Z digest=sha256:11e8bb0c3d6ed2416652c322fc77a52cf90027f5d8dc82d6fe0bf7fcbcea3f96

Pith citing papers

Observation 1a230828-e41d-42b0-97d6-2910a398df01 · inbound

Advancing MLLM-based UAV Image Understanding and Reasoning: A Benchmark and a Training-Free Multi-Agent System cites this paper.

Advancing MLLM-based UAV Image Understanding and Reasoning: A Benchmark and a Training-Free Multi-Agent System UAVScenes: A Multi-Modal Dataset for UAVs

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:31:27.947353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:31:27.378835Z digest=sha256:cf4c4e182c0428c445e558a39f753a750cab125581500c7e9f32281799465bb4